Thinking Like an Engineer: An Active Learning Approach (4th Edition)
4th Edition
ISBN: 9780134639673
Author: Elizabeth A. Stephan, David R. Bowman, William J. Park, Benjamin L. Sill, Matthew W. Ohland
Publisher: PEARSON
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Chapter 14, Problem 1RQ
The following table lists the number of resin patio furniture chairs rejected for defects during random testing over the course of a week on a manufacturing line. Four samples of 20 chairs are pulled each day. Use the following data to generate a histogram and COF in Excel.
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The following graph shows a load-extension graph from a test
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20
15-
5-
0.2
0.4
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0.6
a) 0.2% offset yield strength
b) The tensile strength
c) The modulus of elasticity
0.8
F
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In a study analyzed by the Statistics Consulting Center at Mutah University, a group of subjects
was asked to complete a certain task on the computer. The response measured was the time to
completion. The purpose of the experiment was to test a set of facilitation tools developed by the
Department of Computer Science at the university. There were 10 subjects involved. With a random
assignment, five were given a standard procedure using Fortran language for completion of the task.
The other five were asked to do the task with the use of the facilitation tools. The data on the
completion times for the task are given here.
Group 1
Group 2
(Standard Procedure) (Facilitation Tool)
161
169
174
158
163
132
162
134
138
133
Assuming that the population distributions are normal and variances are the same for the two
groups, support or refute the conjecture that the facilitation tools increase the speed with which the
task can be accomplished.
1) Graph 1: plot t on the abscissa versus y on the ordinate and (artistically) draw a smooth line through the points. The line need not actually go through each data point.
2) Graph 2: plot t^2 on the abscissa versus y on the ordinate and then perform a linear regression. Remember to plot both the raw data points and the line of best fit (with the two points used to draw it); also show the regression equation and r value on the graph.
3) On graph (1), what does the slope of the line tell you about the velocity of the ball? Be thorough!
4) On graph 2:
a) What does the slope of the line tell you about the acceleration of the ball? Be thorough!
b) Calculate g from the freefall data and the % error (in comparison to 9.81 m/s^2) using the results from the linear regression calculation.
c) What do the values of the y-intercept and correlation coefficient (r) tell you?
Chapter 14 Solutions
Thinking Like an Engineer: An Active Learning Approach (4th Edition)
Ch. 14.1 - The following table lists the number of computer...Ch. 14.2 - For the following mass data g1ven in units of...Ch. 14.2 - For the following temperature data given in units...Ch. 14.3 - For each of the following graphs, decide if the...Ch. 14.3 - Use the scenario described in Example 14-4. For...Ch. 14.4 - Consider the weight of shipping boxes sent down an...Ch. 14.4 - Prob. 7CCCh. 14.5 - Prob. 8CCCh. 14 - For the following pressure data, recorded in units...Ch. 14 - A technician tested two temperature probes by...
Ch. 14 - One of the NAE Grand Challenges for Engineering is...Ch. 14 - You use the data from the Mauna Loa observatory in...Ch. 14 - Polyetheretherketone (PEEK)TM polymers are...Ch. 14 - A technician tested a temperature probe by...Ch. 14 - During November, the heading system in your...Ch. 14 - You are assigned to inspect metal-composite beam...Ch. 14 - Use the scenario described in the preceding...Ch. 14 - You test several temperature probes by inserting...Ch. 14 - Use the scenario described in the previous Problem...Ch. 14 - Prob. 14ICACh. 14 - The following data were collected from a...Ch. 14 - The following data were collected from a...Ch. 14 - The following table lists the number of resin...
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